A framework for contexual design and evaluation of health information technology

Craig Kuziemsky, Andre Kushniruk

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)
56 Downloads (Pure)


Poor contextual fit is a significant cause of health information technology (HIT) implementation issues. While the need for better fit of HIT and context has been well described there is a shortcoming of approaches for how to do it. While the diversity of the contexts where HIT is used prevents us from designing HIT to fit all contexts, if we had better ways of understanding and modelling contexts we could design and evaluate HIT to better fit contexts of use. This paper addresses the above need by developing a framework consisting of a set of terminology and concepts for modelling contextual structures and behaviours to support HIT design. The framework provides a way of binding contextual considerations to allow us to better model contexts as part of HIT design and evaluation.

Original languageEnglish
Title of host publicationDigital healthcare empowering Europeans
Subtitle of host publicationproceedings of MIE2015
EditorsRonald Corne, Lăcrămioara Stoicu-Tivadar, Alexander Hörbst, Carlos Luis Parra Calderón, Stig Kjær Andersen, Mira Hercigonja-Szekeres
Place of PublicationAmsterdam, Netherlands
PublisherIOS Press
Number of pages5
ISBN (Electronic)9781614995128
ISBN (Print)9781614995111
Publication statusPublished - 2015
Externally publishedYes
Event26th Medical Informatics in Europe Conference, MIE 2015 - Madrid, Spain
Duration: 27 May 201529 May 2015

Publication series

NameStudies in health technology and informatics
PublisherIOS Press
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


Other26th Medical Informatics in Europe Conference, MIE 2015

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Context
  • health information technology
  • modelling
  • structure
  • behaviour


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